The Scoring Model to Predict ICU Stay and Mortality After Emergency Admissions in Atrial Fibrillation: A Retrospective Study of 30 366 Patients.

ABSTRACT:

Background

The rapid assessment of the conditions is crucial for the prognosis of atrial fibrillation (AF) patients admitted to the emergency department (ED). We aim to derive and validate a more accurate and simplified scoring model to optimize the triage of AF patients in the ED.

Materials and methods

We conducted a retrospective study using data from the Medical Information Mart for Intensive Care (MIMIC-IV) database and developed scoring models employing the Random Forest algorithm. The area under the receiver operating characteristic (ROC) curve (AUC) was used to measure the performance of the prediction for intensive care unit (ICU) stay, and the death likelihood within 3, 7, and 30 days following the ED admission.

Results

The study included 30 366 AF patients,

SUBMITTER: Hong T 

PROVIDER: S-EPMC11841604 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature